- Comp-neuro - lists.cnsorg.org

PhD position
by Lendasse, Amaury Aug. 1, 2014

Aug. 1, 2014

One PhD student position available (Research Assistant and Teaching Assistant) Topic: Machine Learning for Big Data Where: Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, Iowa, USA (http://www.engineering.uiowa.edu/mie) Starting date: January 15th 2015 Requirements: Applicants should have a keen interest in Machine Learning and hold a Master or equivalent degree in a relevant field such as Computer Science, Industrial Engineering, or Mathematics. The candidate should have excellent programming skills (e.g. Matlab, Python, C/C++) and good analytic skills. Experience with Big Data in Machine Learning (e.g., Hadoop, MapReduce, GPU computing,...), Data Mining and Data Analysis (time series analysis, visualization,...) are a plus. Minimum TOEFL Score Requirements: a score of 600 or higher on the paper-based (PBT) version of the test, or a score of 100 or higher on the Internet-based version of the test (iBT). The selected candidate will then apply officially to the UIOWA: http://www.engineering.uiowa.edu/mie/graduate-program/industrial-engineerin… Interested candidates are encouraged to contact Associate Prof. Lendasse (amaury-lendasse(a)uiowa.edu) by email. To apply, please send an email (subject: PhD Position MIE IOWA) along with a SINGLE PDF file including: (1) a cover letter describing previous experiences and interests (maximum 1 page) (2) Curriculum Vitae (maximum 2 pages) (3) academic transcripts (4) the names and contact information of two or three references (maximum 1 page) (5) Skype Name Application Deadline: August 17th 2014 Amaury Lendasse, Associate Professor Department of Mechanical and Industrial Engineering 2403 Seamans Center for the Engineering Arts and Sciences The University of Iowa Iowa City, Iowa, 52242, USA email: amaury-lendasse(a)uiowa.edu WWW: http://www.engineering.uiowa.edu/mie/faculty-staff/amaury-lendasse

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Kind Reminder:: CFP:: 3rd ICIEIS2014- Poland
by The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014) Aug. 1, 2014

Aug. 1, 2014

| Please accept our apology for multiple posting. THANK YOU | +-----------------------------------------------------------+ The Third International Conference on Informatics Engineering and Information Science (ICIEIS2014) Lodz University of Technology, Lodz, Poland September 22-24, 2014 http://sdiwc.net/conferences/2014/icieis2014/ ============================================================================ The proposed conference will be held at Lodz University of Technology Lodz, Poland from September 22-24, 2014 which aims to enable researchers to build connections between different digital applications. The conference welcomes papers on the following (but not limited to) research topics: - Real-Time Systems - Software Engineering - Biometrics Technologies - Mobile Social Networks - Information Ethics - Information Content Security - Information and Data Management - Network Security - Social Networks - Wireless Communications - Information Propagation on Social Networks Researchers are encouraged to submit their work electronically. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. Important Dates ============================================================================ Submission Date : Open from now until August 20, 2014 Notification of acceptance: 2-3 weeks from the submission date Camera Ready submission : Sept. 12, 2014 Registration : Sept. 12, 2014 Conference dates : Sept. 22-24, 2014

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Open Position: Software Developer in Neuroinformatics at LMU Munich
by Thomas Wachtler July 31, 2014

July 31, 2014

At the German Neuroinformatics Node (G-Node, http://www.g-node.org) Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field bring the challenge of large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods. Current developments include a data sharing platform and tools for metadata management and data annotation. G-Node is part of the Bernstein Network Computational Neuroscience (http://nncn.de) is collaborating with the International Neuroinformatics Coordination Facility (INCF, http://incf.org) Secretariat and other INCF National Nodes, and is involved in teaching and training activities. The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks will include contributing to the development and enhancement of G-Node tools and services (http://www.g-node.org/tools-and-services) working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions. Candidates should have excellent programming skills, preferably in Python and C++ or Java, knowledge about relational databases, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in further fields of relevance, such as web development (Javascript, HTML/CSS, web frameworks), semantic web technologies, scientific software and analysis, experimental or computational neuroscience, would be beneficial. The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension. Severely disabled applicants will be given preference in case of equal qualification. Applications by women are specifically encouraged. Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as pdf file by email, to Thomas Wachtler <wachtler(a)bio.lmu.de> -- Dr. Thomas Wachtler <wachtler(a)bio.lmu.de> Scientific Director German Neuroinformatics Node Department Biology II Ludwig-Maximilians-Universität München Grosshaderner Str. 2 82152 Planegg-Martinsried Germany

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Postdoctoral Position in Computational Motor Control
by Jon Sensinger July 31, 2014

July 31, 2014

A postdoctoral position in computational motor control is available to apply optimal control and computational motor control methods to improve the control, sensory feedback, and outcome measures used in prosthetics. The successful applicant will join an interdisciplinary team at the University of New Brunswick’s Institute of Biomedical Engineering that includes scientists, clinicians, and engineers focused on improving clinically viable prostheses and exoskeleton design and control. He or she will be expected to leverage research from the broader neuroscience research community to develop computational approaches for addressing real-world problems, and will have the opportunity to interact on a daily basis with patients. This collaborative project is performed jointly by the groups of Drs. Jon Sensinger (Institute of Biomedical Engineering, University of New Brunswick, Canada) Levi Hargrove (Center for Bionic Medicine, Rehabilitation Institute of Chicago, USA), and Konrad Kording (Northwestern University, Chicago USA). A layman’s overview of the project is video-scribed here: https://www.youtube.com/watch?v=eEzbuiJi0T0 Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent Matlab programming skills. Previous experience in computational motor control or optimal control is a plus. Interested candidates are encouraged to contact Dr. Sensinger (j.sensinger(a)unb.ca<mailto:j.sensinger@unb.ca>) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Sensinger will be available to answer questions and discuss this job opportunity with potential candidates at the EMBC 2014 meeting in Chicago, USA (August 27-30). Jon Sensinger, PhD Associate Director, Institute of Biomedical Engineering Associate Professor, Electrical and Computer Engineering University of New Brunswick http://www.ece.unb.ca/jsensing Twitter: @jsensinger LinkedIn: http://www.linkedin.com/pub/jon-sensinger/9a/1b2/a09

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[meetings] ICANN 2014 - Final Program and Call for Participation
by Stefan Wermter July 31, 2014

July 31, 2014

------------------------------------------------------------------- Call for Participation and Conference Program ICANN 2014: 24th Annual Conference on Artificial Neural Networks 15 - 19 September 2014, University of Hamburg, Germany http://icann2014.org/ =================================================================== We invite you to attend the 2014 International Conference on Artificial Neural Networks (ICANN), which is the annual flagship conference of the European Neural Network Society (ENNS). In 2014 the University of Hamburg will organize the 24th ICANN Conference from 15th to 19th September 2014 in Hamburg, Germany. CONFERENCE PROGRAM: The main conference program is now available. The program includes 72 oral presentations, 33 posters and 2 live Demonstrations. http://icann2014.org/program/ REGISTRATION: The ICANN 2014 registration is open. The full registration costs 490 € and 390 € for students. ENNS members pay a reduced rate of 440 €, and 340 € for students. The registration includes access to scientific sessions and plenary talks, coffee breaks during the main conference, welcome event, conference dinner, one copy of the proceedings (USB), one conference bag. Additional tickets for the conference dinner can be purchased for 70 €. http://icann2014.org/registration/ VENUE AND TRANSPORTATION: Hamburg is the second-largest city in Germany, home to over 1.8 million people. Situated at the river Elbe, the port of Hamburg is the second-largest port in Europe. The University of Hamburg is the largest institution for research and education in the north of Germany. The venue of the conference is the ESA building of the University of Hamburg, situated at Edmund-Siemers-Allee near the city centre and easily reachable from Dammtor Railway Station. Hamburg Airport can be reached easily via public transport. ACCOMMODATION: For the accomodation we arranged guaranteed rates for a couple of hotels in Hamburg for ICANN 2014. http://icann2014.org/accommodation/ CHAIRS and ORGANISATION: General Chair: Stefan Wermter (Hamburg, Germany) Program co-Chairs Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President) Wlodzislaw Duch (Torun, Poland, ENNS Past-President) Timo Honkela (Helsinki, Finland) Petia Koprinkova-Hristova (Sofia, Bulgaria) Günther Palm (Ulm, Germany) Cornelius Weber (Hamburg, Germany) Local Organizing Committee Chairs: Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen Jirak, Katja Koesters, Erik Strahl KEYNOTE SPEAKERS: Christopher M. Bishop (Microsoft Research, Cambridge, UK) Jun Tani (KAIST, Daejeon, Republic of Korea) Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain) Yann LeCun (New York University, NY, USA) Barbara Hammer (Bielefeld University, Bielefeld, Germany) Kevin Gurney (University of Sheffield, Sheffield, UK) CONFERENCE TOPICS: ICANN 2014 will feature the main tracks Brain Inspired Computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE WEBSITE: http://www.icann2014.org *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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FINAL CALL for Goettingen's 12th annual comp-neuro summer course. DEADLINE: Aug. 6th.
by Maximilian Puelma Touzel July 29, 2014

July 29, 2014

Final call for applicants to apply to the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel Sponsored by -the Bernstein Centre for Computation Neuroscience, Göttingen -the International Max Planck Research School for the Physics of Biological and Complex Systems -the Goettingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences ______________________________ The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theory and analysis methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 6, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de

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Postdoc in computational neuroscience
by Joaquín Navajas July 29, 2014

July 29, 2014

Post doc in computational neuroscience (Centre for Systems Neuroscience - University of Leicester, UK) Spike sorting is the classification of single neurons from extra cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interphase and in batch codes to run in matlab. Link for more details: http://www.le.ac.uk/jobs/external/SEN00493_Job_Summary.pdf <https://email.le.ac.uk/owa/redir.aspx?C=6xLmoEDA8kadrrcI2z0-IpKjtXikftEISUM…> Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk <https://email.le.ac.uk/owa/redir.aspx?C=RXnrNoZO4k-7v7qrCHbb4FuwAk44fdEIFNi…> or 0116 252 3249

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CNS workshop
by Jonathan Rubin July 29, 2014

July 29, 2014

Dear Comp-Neuro members who are attending the CNS*2014 meeting, We are happy to invite you attend the workshop “Dynamics of Disease States” that will take place on Wednesday, July 30th at the CNS*2014 meeting in Quebec. The workshop will be held in room 2104A and the full program is available at: http://wwwhome.math.utwente.nl/~gilssa/cns2014/?page=program best regards, Stephan van Gils and Jon Rubin

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Columbia+Janelia postdoc positions: zebrafish computational neuroscience and machine learning
by Liam Paninski July 28, 2014

July 28, 2014

Colleagues, Will you please circulate this postdoc ad amongst your students or anyone else who might be interested: http://grossmancenter.columbia.edu/zebrafish.html? Thank you. Liam Paninski ------------------------------------------------------------------------------------------ Postdoctoral position in large-scale computational neuroscience A full-time postdoctoral position is available immediately, jointly between Columbia University's Grossman Center for the Statistics of Mind and HHMI's Janelia Research Campus. The aim is to understand whole-brain activity at the cellular level using large-scale computational methods. The position is co-supervised by Liam Paninski, John Cunningham and Larry Abbott (at Columbia) and Jeremy Freeman and Misha Ahrens (at Janelia Research Campus) and is centered around understanding the dynamics of all neurons in the brain of behaving larval zebrafish. We use light-sheet imaging to record simultaneously from most of the ~10^5 neurons during behavior, and use large-scale cluster computing and machine learning, statistics, and modeling to gain insight into how brain-wide network dynamics underlies behavior. The position will be based at Columbia University and HHMI Janelia Research Campus, and we will encourage applicants to spend time at both campuses. Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and in cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience. Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills. Applicants should send an email to zebrafish.computation(a)gmail.com providing: 1. a one-page description of past research experience 2. a one-page description of future research interests and goals 3. a resume of educational and research experience, including publications 4. names of three people who could provide letters of reference All materials should be in pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.

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ONLY FOR STUDENTS - 2 weeks mini computational neuroscience freelance project for students from home
by Robert Schindle July 28, 2014

July 28, 2014

Hello All, We are currently working on a project in the field of computational neuroscience which requires some help with analyzing data and documenting the research within the next 2 weeks. We are looking for someone with good c++ and Python skills. You will be compensated accordingly. If you are interested please contact us immediately so that we can discuss other details and start the work immediately. Thanks a lot, Robert Schindle.

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